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Datasets:
GroNLP
/
divemt

Tasks:
Translation
Modalities:
Image
Tabular
Text
Languages:
English
Italian
Vietnamese
Size:
1K - 10K
ArXiv:
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  - **Paper:** [Arxiv](TBD)
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  - **Point of Contact:** [Gabriele Sarti](mailto:g.sarti@rug.nl)
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  ### Dataset Summary
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  This dataset contains the processed `warmup` and `main` splits of the DivEMT dataset. A sample of documents extracted from the Flores-101 corpus were either translated from scratch or post-edited from an existing automatic translation by a total of 18 professional translators across six typologically diverse languages (Arabic, Dutch, Italian, Turkish, Ukrainian, Vietnamese). During the translation, behavioral data (keystrokes, pauses, editing times) were collected using the [PET](https://github.com/wilkeraziz/PET) platform.
 
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  - **Paper:** [Arxiv](TBD)
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  - **Point of Contact:** [Gabriele Sarti](mailto:g.sarti@rug.nl)
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+ ![DivEMT Visualization](https://huggingface.co/datasets/GroNLP/divemt/resolve/main/divemt.png)
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+ *For an overview of DivEMT, see our [Paper](https://arxiv.org/abs/2205.12215) and our [Github repository](https://github.com/gsarti/divemt)*
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  ### Dataset Summary
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  This dataset contains the processed `warmup` and `main` splits of the DivEMT dataset. A sample of documents extracted from the Flores-101 corpus were either translated from scratch or post-edited from an existing automatic translation by a total of 18 professional translators across six typologically diverse languages (Arabic, Dutch, Italian, Turkish, Ukrainian, Vietnamese). During the translation, behavioral data (keystrokes, pauses, editing times) were collected using the [PET](https://github.com/wilkeraziz/PET) platform.